Traumatic Brain Lesion Quantification based on Mean Diffusivity Changes
| العنوان: | Traumatic Brain Lesion Quantification based on Mean Diffusivity Changes |
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| المؤلفون: | Emmanuelle Schmitt, Alexandre Krainik, Jean-François Payen, Thomas Mistral, Michel Dojat, Florence Forbes, Stéphane Kremer, Senan Doyle, Damien Galanaud, Irène Troprès, Emmanuel L. Barbier, Christophe Maggia |
| المساهمون: | [GIN] Grenoble Institut des Neurosciences (GIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Université Grenoble Alpes - UFR Médecine (UGA UFRM), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Pixyl Medical [Grenoble], Modelling and Inference of Complex and Structured Stochastic Systems (MISTIS ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Service de Neuroradiologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Service de radiologie [Strasbourg], CHU Strasbourg-Hôpital de Hautepierre [Strasbourg], RMN biomédicale : de la cellule à l'homme (RBCH), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble-DIR CENTRALE DU SSA-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), IRMaGe (IRMaGe ), CHU Grenoble-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Forbes, Florence |
| المصدر: | Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, BrainLes (MICCAI) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, BrainLes (MICCAI), 10670, Springer, pp.88-99, 2018, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-75238-9_8⟩ Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783319752372 BrainLes@MICCAI |
| بيانات النشر: | HAL CCSD, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Traumatic brain injury, business.industry, Computer science, Brain tissue, medicine.disease, Thermal diffusivity, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], medicine, Brain lesions, Nuclear medicine, business, Mr diffusion, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], Brain trauma, 030217 neurology & neurosurgery, Automated method |
| الوصف: | International audience; We report the evaluation of an automated method for quantification of brain tissue damage, caused by a severe traumatic brain injury, using mean diffusivity computed from MR diffusion images. Our automatic results obtained on realistic phantoms and real patient images 10 days post-event provided by nine different centers were coherent with four expert manually identified lesions. For realistic phantoms automated method scores were equal to 0.77, 0.77 and 0.83 for Dice, Precision and Sensibility respectively compared to 0.78, 0.72 and 0.86 for the experts. The inter correlation class (ICC) was 0.79. For 7/9 real cases 0.57, 0.50 and 0.70 were respectively obtained for automated method compared to 0.60, 0.52 and 0.78 for experts with ICC=0.71. Additionally, we detail the quality control module used to pool data from various image provider centers. This study clearly demonstrates the validity of the proposed automated method to eventually compute in a multi-centre project, the lesional load following brain trauma based on MD changes. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| ردمك: | 978-3-319-75237-2 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::965b05a2d96c3e3ee7da728ffb836a5d https://hal.archives-ouvertes.fr/hal-01704679/file/FINALE-Maggia2017.pdf |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....965b05a2d96c3e3ee7da728ffb836a5d |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783319752372 |
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